Suitability of dysphonia measurements for telemonitoring of Parkinson's disease


We present an assessment of the practical value of existing traditional and non-standard measures for discriminating healthy people from people with Parkinson's disease (PD) by detecting dysphonia. We introduce a new measure of dysphonia, Pitch Period Entropy (PPE), which is robust to many uncontrollable confounding effects including noisy acoustic environments and normal, healthy variations in voice frequency. We collected sustained phonations from 31 people, 23 with PD. We then selected 10 highly uncorrelated measures, and an exhaustive search of all possible combinations of these measures finds four that in combination lead to overall correct classification performance of 91.4%, using a kernel support vector machine. In conclusion, we find that non-standard methods in combination with traditional harmonics-to-noise ratios are best able to separate healthy from PD subjects. The selected non-standard methods are robust to many uncontrollable variations in acoustic environment and individual subjects, and are thus well-suited to telemonitoring applications.

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Uncontrolled Keywords: biomedical measurements,nervous system,speech analysis,telemedicine,Biomedical Engineering
Publication ISSN: 1558-2531
Last Modified: 07 Jun 2024 07:09
Date Deposited: 28 Jan 2013 15:21
Full Text Link: http://ieeexplo ... rnumber=4636708
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Article
Published Date: 2009-04
Authors: Little, Max A. (ORCID Profile 0000-0002-1507-3822)
McSharry, Patrick E.
Hunter, Eric J.
Spielman, Jennifer
Ramig, Lorraine O.



Version: Accepted Version

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